Garbage In, Garbage Out? Do Machine Learning Application Papers in
Social Computing Report Where Human-Labeled Training Data Comes From?

Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?

17 December 2019

Papers citing "Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?"

13 / 13 papers shown

Title
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 68 2 0 14 Feb 2025
Towards Scenario- and Capability-Driven Dataset Development and Evaluation: An Approach in the Context of Mapless Automated Driving Felix Grün Marcus Nolte Markus Maurer 27 1 0 30 Apr 2024
On the Readiness of Scientific Data for a Fair and Transparent Use in Machine Learning Joan Giner-Miguelez Abel Gómez Jordi Cabot 18 0 0 18 Jan 2024
Towards a Gateway for Knowledge Graph Schemas Collection, Analysis, and Embedding Mattia Fumagalli Marco Boffo D. Shi Mayukh Bagchi Fausto Giunchiglia 9 2 0 21 Nov 2023
What's the Meaning of Superhuman Performance in Today's NLU? Simone Tedeschi Johan Bos T. Declerck Jan Hajic Daniel Hershcovich ... Simon Krek Steven Schockaert Rico Sennrich Ekaterina Shutova Roberto Navigli ELM LM&MA VLM ReLM LRM 32 26 0 15 May 2023
The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation Barbara Plank 27 96 0 04 Nov 2022
Challenges and Strategies in Cross-Cultural NLP Daniel Hershcovich Stella Frank Heather Lent Miryam de Lhoneux Mostafa Abdou ... Ruixiang Cui Constanza Fierro Katerina Margatina Phillip Rust Anders Søgaard 41 162 0 18 Mar 2022
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research Bernard Koch Emily L. Denton A. Hanna J. Foster 31 139 0 03 Dec 2021
MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels R. Joyce Dev Amlani B. Hamilton Edward Raff 24 21 0 29 Nov 2021
Censorship of Online Encyclopedias: Implications for NLP Models Eddie Yang Margaret E. Roberts 16 16 0 22 Jan 2021
AMUSED: An Annotation Framework of Multi-modal Social Media Data Gautam Kishore Shahi 35 39 0 01 Oct 2020
A Survey of Machine Learning Methods and Challenges for Windows Malware Classification Edward Raff Charles K. Nicholas AAML 19 54 0 15 Jun 2020
A Hierarchy of Limitations in Machine Learning M. Malik 13 55 0 12 Feb 2020